lightsout19 / gpt2-moe-top2-4-rte

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Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 1
Model's Last Updated: November 01 2024

Introduction of gpt2-moe-top2-4-rte

Model Details of gpt2-moe-top2-4-rte

gpt2-moe-top2-4-rte

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6857
  • Accuracy: 0.5560
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
Training results
Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 78 0.7038 0.4765
No log 2.0 156 0.6932 0.5054
No log 3.0 234 0.6939 0.5704
No log 4.0 312 0.6829 0.5596
No log 5.0 390 0.6753 0.5812
Framework versions
  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1

Runs of lightsout19 gpt2-moe-top2-4-rte on huggingface.co

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